Clinical Computing in Dentistry [chapter]

Aswini Kumar Kar, Prabhu Yuvaraj, Mirna Garhnayak, Shruti Vishal Dev, Purna Chandra Mishra, Tapan Kumar Patro, Loknath Garhnayak, Sonali Perti, Nabagata Ganchoudhury
2019 Computer Vision in Dentistry [Working Title]  
Machines can seldom replace dentists in rightly handling the patients with optimistic human insight, considerations, creative planning and the monitoring of psychological acceptance and comfort experienced by any patient with the rehabilitation done. Intelligent computer related armamentarium with software can still help dental practitioners detect typical medical and dental signs and classify them according to certain rules more effectively. Based on image analysis algorithms, CAD systems can
more » ... s, CAD systems can be used to look for signs of any tooth pathology that can be spotted in dental X-ray or cone beam computed tomography (CBCT) images. Applying computer vision algorithms to high-resolution CBCT slices helps to a great extent in diagnosing periapical lesions like granulomas, cysts, etc., and can help creating 3-D model of a root canal that reflects its shape with sufficient precision facilitating an optimum endodontic treatment planning. Hence, computer vision systems are already able to speed up the diagnostic process and provide a valuable second opinion in doubtful cases. This can lead a dentist and the patient thoroughly experience an optimistic acceptance and satisfaction of the treatment done.
doi:10.5772/intechopen.81646 fatcat:z6vnl6tbsfeyvk5umq5i4qtwhy